Evidence map›Paper›PMID 26869265›Full record

ArticleBMC health services research2016

The accuracy and completeness for receipt of colorectal cancer care using Veterans Health Administration administrative data.

Eric A Sherer, Deborah A Fisher, Jeffrey Barnd, George L Jackson, Dawn Provenzale, David A Haggstrom

Abstract read
In one paragraph

Article in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Eric A ShererDepartment of Chemical Engineering, Louisiana Tech University, Ruston, LA, USA. esherer@latech.edu.
Deborah A FisherCenter for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, NC, USA.
Jeffrey BarndCenter for Health Information and Communication, Richard L. Roudebush Veterans Affairs Medical Center, Indianapolis, IN, USA.
George L JacksonCenter for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, NC, USA.
Dawn ProvenzaleCenter for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, NC, USA.
David A HaggstromCenter for Health Information and Communication, Richard L. Roudebush Veterans Affairs Medical Center, Indianapolis, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe National Comprehensive Cancer Network and the American Society of Clinical Oncology have established guidelines for the treatment and surveillance of colorectal cancer (CRC), respectively. Considering these guidelines, an accurate and efficient method is needed to measure receipt of care.

methodsThe accuracy and completeness of Veterans Health Administration (VA) administrative data were assessed by comparing them with data manually abstracted during the Colorectal Cancer Care Collaborative (C4) quality improvement initiative for 618 patients with stage I-III CRC.

resultsThe VA administrative data contained gender, marital, and birth information for all patients but race information was missing for 62.1% of patients. The percent agreement for demographic variables ranged from 98.1-100%. The kappa statistic for receipt of treatments ranged from 0.21 to 0.60 and there was a 96.9% agreement for the date of surgical resection. The percentage of post-diagnosis surveillance events in C4 also in VA administrative data were 76.0% for colonoscopy, 84.6% for physician visit, and 26.3% for carcinoembryonic antigen (CEA) test.

conclusionsVA administrative data are accurate and complete for non-race demographic variables, receipt of CRC treatment, colonoscopy, and physician visits; but alternative data sources may be necessary to capture patient race and receipt of CEA tests.

Indexed as

United States Department of Veterans AffairsAdultAgedAged, 80 and overColonoscopyColorectal NeoplasmsDatabases, FactualFemaleHumansKnowledge ManagementMaleMiddle AgedQuality ImprovementRetrospective StudiesUnited States

Identifiers

PMID26869265
PMCPMC4751682

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.